The objective of the course is to teach first-year undergraduate students the fundamentals of programming, including coding basics, the order of computation, loops, lists, functions, and file parsing. Students will also be introduced to web scraping and some advanced programming concepts, providing them with a strong foundation for further development in computer science and data analysis.
The objective of this course is to introduce first-year students to the fundamentals of data science. It begins by covering the basics of essential data science techniques, including supervised learning methods such as linear regression, decision trees, and logistic regression. The course also explores unsupervised methods like clustering, and discusses techniques for addressing model overfitting and underfitting. In addition, students will learn advanced methods such as boosting and bagging to enhance model performance.
EE 104 is a first-year undergraduate lab course led by Prof. S. Rajendran, with nearly 200 students at IIT Gandhinagar. The course focuses on electrical and electronics experiments, and I was assigned the role of assisting students to ensure smooth conduction of lab experiments. I also helped the instructor with grading, designing experiments, and managing quizzes to provide a better learning experience for the students.
EE 431 is an advanced lab course for undergraduate students, led by Prof. S. Rajendran at IIT Gandhinagar. I was responsible for assisting 32 students in conducting load flow analysis experiments using the Power System Simulator for Engineering (PSS®E) and applying reactive power compensation techniques with Omega passive components. Additionally, I supported the instructor in conducting quizzes and maintaining student performance reports throughout the course.